1 Computer Science Department, University Dr Moulay Tahar of Saida, Saida, Algeria. 2 Computer Science Department, University Djillali Liabes of SidiBel Abbes, SidiBel Abbes, Algeria. Before going ...

A hierarchy of semidefinite programming (SDP) relaxations approximates the global optimum of polynomial optimization problems of noncommuting variables. Generating the relaxation, however, is a ...

We give the first approximation algorithm for mixed packing and covering semidefinite programs (SDPs) with polylogarithmic dependence on width. Mixed packing and covering SDPs constitute a fundamental ...

Polynomial optimization problem solver. Uses relaxation to convert the problem into Semidefinite programming. Can be also used just as Semidefinite programming solver.

COSMO: Accelerated ADMM-based solver for convex conic optimisation problems (LP, QP, SOCP, SDP, ExpCP, PowCP). Automatic chordal decomposition of sparse semidefinite programs.

Quantum steering refers to the non-classical correlations that can be observed between the outcomes of measurements applied on half of an entangled state and the resulting post-measured states that ...

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Abstract: By assuming signal propagation speed to be unknown, a convex rank unconstrained semidefinite programming (RUSDP) algorithm is designed to obtain the unified solution for near-field and ...

Abstract: In this paper, a detection strategy based on a semidefinite relaxation of the optimal maximum-likelihood problem is investigated. Cutting planes are also used to strengthen the approximation ...

ABSTRACT: This paper considers the NP (Non-deterministic Polynomial)-hard problem of finding a minimum value of a quadratic program (QP), subject to m non-convex inhomogeneous quadratic constraints.